Conveyor speed control

ABSTRACT

Systems, methods, devices, and non-transitory processor readable media of the various embodiments enable intelligent speed control of conveyors (e.g., singulator conveyors, sortation conveyors, etc.) in a material handling system.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No.14/298,165 that issues as U.S. Pat. No. 9,738,455 on 22 Aug. 2017, whichin turn claims the benefit of priority to U.S. Prov Pat Appln No.61/832,321 entitled “Usage-Driven Sorter Speed Control” filed Jun. 7,2013, and to U.S. Prov Pat Appln No. 61/981,413 entitled “IntelligentSpeed Controls In Material Handling Systems Including A Singulator”filed Apr. 18, 2014. The entire contents of all three of which arehereby incorporated by reference.

FIELD

This disclosure relates generally to a material handling system, and ismore particularly directed to efficient control of material handlingsystems including conveyor systems (e.g., sortation systems, singulatorsystems, etc.).

BACKGROUND

Based on the configuration of the material handling system, items (e.g.,cartons, cases, etc.) may travel through the material handling system inan unregulated fashion (e.g., clustered, overlapping, and/or non-singlefile flow) at an initial time. However, to aid in sorting items, forexample into different divert lanes for shipment via a sortationconveyor, it is often advantageous to align the flow of items into asingle file stream. A singulator (or singulator conveyor) is an exampleof a conveyor that accepts an unregulated flow of items and dischargesthe items as a single file stream. Singulators are often wide bulkconveyors accepting inputs at various points (for example from one ormore collector conveyor) and aligning the input items such that theitems are discharged as a single file stream. Singulators often includerecirculation lines that convey items that have not been successfullyplaced into the single file stream (i.e., not singulated) back to thestart of the singulator. Singulators often discharge the single filestream of items to a sortation conveyor.

Sortation conveyors have the ability to convey unit loads andselectively divert individual loads being conveyed off at desireddestinations alongside the conveyor. Sortation conveyors are commonlyused in unit handling for conveying mixed batches of loads and sortingthem to planned destinations located along the length of the conveyor.There are several different types of sortation conveyors used for unitload handling applications, such as pop-up skewed wheel sorters, pivotwheel sorters, cross belt/tilt tray sorter, and sliding shoe sorter.

Sliding shoe sorters are very effective at high speeds in that thenumber and operation of the divert shoes may be configured to gentlyguide the load to a particular divert lane. Sliding shoe sorters have acarrying surface is made up of conveyor flights (slats or tubes), eachof which are attached to a drive chain running just inside each sorterside channel. Sliding divert shoes, which are supported by the conveyorslats, push a load off the flight conveyor at an appropriate sortdestination. The number of shoes used to divert a load is determined atinduction, depending upon a length of the load. Rates up to 400 cartonsper minute can be achieved thereby in part by sorting on minimum gapsbetween cartons.

BRIEF SUMMARY

The systems, methods, devices, and non-transitory processor readablemedia of the various embodiments enable intelligent speed control ofconveyors (e.g., singulator conveyors, sortation conveyors, etc.) in amaterial handling system.

In various embodiments, a run rate of a sortation system or conveyor maybe periodically changed in relation to its usage. In additionalembodiments, adjustment or changes in induction may also be triggered byconditions upstream or downstream of the sortation system or conveyor.In an embodiment, a sortation system or conveyor may be operated at afirst run rate, a maximum throughput value of the sortation system atthe first run rate may be determined, an actual throughput value of thesortation system may be monitored, a ratio of the actual throughputvalue to the maximum throughput value may be compared with a firstthreshold, and the sortation system or conveyor may be operated at asecond run rate in response to the ratio being outside of the firstthreshold.

In an embodiment, the speed of a singulator (or singulator system orsingulator conveyor) may be controlled (e.g., increased, decreased,and/or maintained) based on a detection of one or more items on one ormore upstream conveyors, such as collector conveyors, feeding thesingulator. In an additional embodiment, the speed of a singulator maybe controlled (e.g., increased, decreased, and/or maintained) based on aflow state of items downstream of the singulator.

BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings illustrate embodiments of the invention, and,together with specification, including the general description above andthe detailed description which follows, serve to explain the features ofthe present invention.

FIG. 1 illustrates a schematic block diagram of a material handlingsystem having conveyor controller according to an embodiment.

FIGS. 2A and 2B are top view diagrams of material handling systems witha functional schematic of a conveyor controller according to variousembodiments.

FIG. 3 is a process flow diagram illustrating an embodiment method forcontrolling the speed of a conveyor.

FIG. 4 is a process flow diagram illustrating an embodiment method forcontrolling a run rate of a sortation system.

FIGS. 5A and 5B are process flow diagrams illustrating an embodimentmethod for controlling a sortation system.

FIG. 6 is a process flow diagram illustrating an embodiment method forcontrolling the speed of a singulator based at least in part on anamount of items and/or volume of flow from one or more input conveyors.

FIG. 7 is a process flow diagram illustrating an embodiment method forcontrolling the speed of a singulator based at least in part on a flowstate downstream of the singulator.

FIG. 8 illustrates an exemplary processing architecture of a materialhandling system suitable for use with the various embodiments.

FIG. 9 is a component block diagram of an example laptop computingdevice suitable for use with the various embodiments.

FIG. 10 is a component block diagram of a server computing devicesuitable for use in an embodiment.

DETAILED DESCRIPTION

The various embodiments will be described in detail with reference tothe accompanying drawings. Wherever possible, the same reference numberswill be used throughout the drawings to refer to the same or like parts.References made to particular examples and implementations are forillustrative purposes, and are not intended to limit the scope of theinvention or the claims.

The word “exemplary” is used herein to mean “serving as an example,instance, or illustration.” Any implementation described herein as“exemplary” is not necessarily to be construed as preferred oradvantageous over other implementations.

The term “computing device” is used herein to refer to any one or all ofprogrammable logic controllers (PLCs), programmable automationcontrollers (PACs), industrial computers, desktop computers, personaldata assistants (PDAs), laptop computers, tablet computers, smart books,palm-top computers, personal computers, and similar electronic devicesequipped with at least a processor configured to perform the variousoperations described herein.

The various embodiments are described herein using the term “server.”The term “server” is used to refer to any computing device capable offunctioning as a server, such as a master exchange server, web server,mail server, document server, or any other type of server. A server maybe a dedicated computing device or a computing device including a servermodule (e.g., running an application which may cause the computingdevice to operate as a server). A server module (e.g., serverapplication) may be a full function server module, or a light orsecondary server module (e.g., light or secondary server application)that is configured to provide synchronization services among the dynamicdatabases on computing devices. A light server or secondary server maybe a slimmed-down version of server type functionality that can beimplemented on a computing device, such as a smart phone, therebyenabling it to function as an Internet server (e.g., an enterprisee-mail server) only to the extent necessary to provide the functionalitydescribed herein.

Although high speed may be achievable by conveyors, such as sliding shoesorters, it is believed that there are situations where the conveyors,such as sliding shoe sorters, may be better used at a lower speed inorder to reduce noise, power consumption, and mechanical wear. However,such reductions in conveyor speed should not degrade performance of anoverall material handling system or operation.

The systems, methods, devices, and non-transitory processor readablemedia of the various embodiments enable intelligent speed control ofconveyors systems (e.g., singulator systems, sortation systems, etc.) ina material handling system. In various embodiments, a run rate of aconveyor (e.g., a speed of a conveyor) may be periodically changed inrelation to its usage. In additional embodiments, adjustment or changesin induction may also be triggered by conditions upstream or downstreamof the conveyor. The various embodiments may provide methods, systems,non-transitory processor readable media, controllers, and materialhandling systems that perform multi-speed conveyor operations thatdynamically adjust based upon how much of the throughput available at acurrent run rate may be being used. In various embodiments, the speed ofa conveyor may be controlled based on material handling system stateinputs from one or more external system, such as a Warehouse ManagementSystem (“WMS”), Labor Management System (“LMS”), Warehouse ControlSystem (“WCS”), and/or any other system that may provide data associatedwith the status of a distribution center in which the material handlingsystem may operate. Material handling system state inputs from theexternal system may include labor inputs, such as requirements for workassigned, workers assigned and the locations of those workers,predictions of workers assigned, etc., current work inputs, estimatedcompletion times, such as completion times of tasks and/or waves, and/orinputs indicative of characteristics of work, such as types of items(e.g., tote, carton, etc.) and sizes of items. In various embodiments,the speed of a conveyor may be controlled to control (e.g., to reduce)energy consumption by the conveyor and/or the overall material handlingsystem. For example, during peak electric pricing periods (e.g., heavydemand periods such as mid-afternoon in large metropolitan areas) aconveyor may be slowed to reduce its use of electricity and duringoff-peak electric pricing periods (e.g., low demand periods such as lateat night) the conveyor may be run at higher speeds. In this manner, thecost to operate the material handling system may be controlled by usingmore electricity when electricity is available at a lower cost.

In various embodiments, a run rate of a sortation system or conveyor maybe periodically changed in relation to its usage. In additionalembodiments, adjustment or changes in induction may also be triggered byconditions upstream or downstream of the sortation system or conveyor.In an embodiment, a sortation system or conveyor may be operated at afirst run rate, a maximum throughput value of the sortation system atthe first run rate may be determined, an actual throughput value of thesortation system may be monitored, a ratio of the actual throughputvalue to the maximum throughput value may be compared with a firstthreshold, and the sortation system or conveyor may be operated at asecond run rate in response to the ratio being outside of the firstthreshold. The various embodiments may provide sortation controllersthat perform multi-speed sorter operation that dynamically adjusts basedupon how much of the throughput available at a current run rate may bebeing used. In exemplary versions, the sorter operations may also beadjusted based upon an ability of downstream destinations (e.g.,aftersort lanes) to accept items from the sorter. This ability, forexample, may be detected directly from enabled aftersort lanes orindirectly based upon a state of fullness of a recirculation lane.Additionally, the labor levels (e.g., staffing levels) of downstreamdestinations may be used to adjust the sorter operations. In one or moreembodiments, the run rate of the sorter may be adjusted periodically soas to not present a distracting visual and audible change. By adjustingthe run rate of the sorter to keep within an efficient range, thematerial handling system may reduce energy consumption, noise, andmechanical wear when appropriate without degrading overall performanceof the material handling system.

The systems, methods, devices, and non-transitory processor readablemedia of the various embodiments enable intelligent speed control of asingulator in a material handling system. In an embodiment, the speed ofa singulator may be controlled (e.g., increased, decreased, and/ormaintained) based on a detection of one or more items on one or moreupstream conveyors, such as collector conveyors, feeding the singulator.In an embodiment, one or more sensor, such as a photoelectric sensor(e.g., “photoeye”), may monitor items flowing onto the one or moreupstream conveyors that input items to the singulator. Determinationsabout the loading of the one or more upstream conveyors may be madebased at least in part on detecting one or more items with the one ormore sensors as the one or more items flow onto the one or more upstreamconveyors that input items to the singulator. For example, the loadinglevel of a belt segment of a collector conveyor may be estimated basedon item detection indications received from a photoeye monitoring thatcollector conveyor. By position tracking the collection of items on theone or more upstream conveyors that input items to the singulator,determinations about the amount of items on the conveyors (e.g., howheavily loaded) and/or volume of flow of items (e.g., how many items perperiod of time) from the conveyors may be made as the one or more items(or just before the one or more items) arrive on the singulator.Intelligent decisions or determinations about whether to speed up, slowdown, or maintain the speed of the singulator may be made based on thedetermined amount of items on the conveyors and/or volume of flow ofitems from the conveyors. As an example, based on determining that thevolume of flow from one or more collector conveyors feeding thesingulator is above a threshold volume level, the singulator's speed maybe increased to singulate a higher volume of items and output a highersingulated volume of items (e.g., a higher pace of items) to adownstream sortation system or conveyor, such as a sliding shoe sorter.

In an additional embodiment, the speed of a singulator may be controlled(e.g., increased, decreased, and/or maintained) based on a flow state ofitems downstream of the singulator. As an example, the speed of asliding shoe sorter downstream of the singulator and/or the loadinglevel of a sliding shoe sorter downstream of the singulator may be aflow state that is monitored and when the flow state is at or below athreshold (e.g., the sliding shoe sorter's loading level is “low”), thesingulator may be slowed down. Additionally, the sliding shoe sorter maybe slowed down as well. In an embodiment, the sensor data from thesensors monitoring the upstream input conveyors to the singulator maycontinue to be monitored, and only when the amount of items or volume offlow for the conveyors is at or below the speed up threshold may thedownstream flow state be checked. In this manner, the singulator may notbe slowed down until anticipated high amounts or high flow volume ofitems are cleared through the singulator. In a further embodiment, thespeed of a singulator may be controlled based on various externalinputs, such as a labor level downstream of the singulator.

For clarity, examples described herein are directed to linear shoesorters as representing sortation systems that can operate at relativelyhigh run rates as compared to certain other sortation systems. However,aspects consistent with the present disclosure have application to othertypes of sortation systems.

Abbreviations and definitions used in the present disclosure may includethe following:

Linear Run Rate (“LRR”) may be a rate, in feet per minute, that thesorter may be running at.

Design Rate (“DR”) may be a peak or maximum number of cartons per unitof time (e.g., per minute) that the sorter is expected to move at agiven LRR. DR may vary based on the attributes of items flowing throughthe system (e.g., actual average length of cartons, size and/or shapevariations among items, gap size, etc.) and/or the system itself (e.g.,current upstream induction capacity, etc.). DR may reflect an idealoperating state of the sorter assuming upstream induction systems aredelivering items to the sorter at maximum capacity. For example, if asorter is running at a LRR of 650 ft/min with a gap of 15″ and anaverage carton length of 27″ the design rate would be 185 cartons perminute (cpm).

Effective rate (“ER”) may be a peak or maximum amount of actual cartonfootage, excluding air, per unit of time (e.g., per minute) that thesorter may be expected to move at a given LLR. ER may be closely linkedto DR and vary based on the same attributes of items flowing through thesystem and/or the system itself as discussed above, and/or ER may bedetermined based on the DR at a given LRR. ER may reflect an idealoperating state of the sorter assuming upstream induction systems aredelivering items to the sorter at maximum capacity. For example, usingthe same values for DR above, the effective rate of the sorter would be418 carton feet per minute (cfm).

Utilization may be a percentage of the ER that is being utilized at agiven LRR over a time period, such as ten minutes. For example, usingthe values given above, a utilization of 80% would indicate that thesorter is currently delivering 334 cfm out of a possible maximum of 418cfm.

In an illustrative implementation, certain variables may be used basedupon use of a 10 minute timer. This timer operates continuously on a“wall-clock” time basis and may be reset whenever the ten minuteinterval is up or whenever the sorters LRR may be changed. Examples ofuse of this 10 minute timer may be as follows:

Ten Minute Utilization (“TMU”) may be a variable for keeping track ofcarton footage placed on the sorter in a ten minute interval.

Ten Minute Recirculation Rate (“TMRR”) may be a variable for keepingtrack of the carton footage placed on the recirculation lane in a tenminute interval. Items may end up on the recirculation lane due to a badscan of an identification label (e.g., barcode), failure to determine adestination lane, a full destination lane that is unable to accept theitem, or an overrun of a destination lane, etc.

Certain other variables may be used based upon a 1 minute timer, whichmay be used once the sorter is up to speed and product is being inductedonto the sorter. Examples of use of this 1 minute timer are as follows:

One Minute Recirculation Rate (“OMRR”) may be a variable for holdingcarton footage that ends upon the circulation lane during a one minuteinterval. If this value is greater than or equal to 85% of therecirculation lane run rate, for example, the sorter may be forced toslow down two speed steps (or one, or possibly none if operating at thelowest LRR). This feature may be directed to situations where there isan issue with getting destination lane status during a scan (badscanner, host communication, etc.).

Recirculation Lane Status (“RLS”) may be used to throttle back or stopthe sorter depending on how full the recirculation lane is. As usedherein, RLS may mean a level of fullness on a recirculation lane. Anexample of setting thresholds for RLS may be as follows: consideredcritical when it is such that it will likely not be able to take anymore product onto the line (i.e., when full or close to being full); andconsidered at a warning level when it is 50% full. Based on the RLS, thesorter may respond by slowing down to the next slowest speed option.When already operating at the lowest speed the sorter may continue tooperate at that level until critical.

Gap Size may refer to linear spacing between cartons on the sorter. Forexample, gap size may be a system variable set during commissioning ofthe sorter and further can be adjusted during operation. Changing thisvalue may simply change the ER value. When the TMU is calculated, thesystem may respond appropriately.

It should be appreciated with benefit of the present disclosure thatvarious embodiments may also dynamically adjust gap size in order toinduct at a current run rate of the sorter an appropriate number ofitems that may be handled by destinations downstream of the sorter. Forexample, the run rate may be adjusted over longer intervals than howoften gap size may be adjusted. The changes in the run rate may achieveenergy efficiencies when available and the more responsive changes inthroughput via gap size may address short duration congestion ordownstream demand.

In an embodiment, sorter speed options may be five in number with thehighest option being the highest rate at which the sorter may operatereliably. A bottom end option can be 450 ft/min with the remaining threeoptions spread evenly there between. For example, the number ofpredetermined options may be set such that an ER operating range may bemaintained. In the exemplary implementation, a current sorter speedoption may be maintained so long as the sorter may be maintainingbetween 60% to 80% of ER at the current LRR. When above the upperthreshold or “speed up threshold” (e.g., 80%), then the next fasterspeed option may be predicted to restore operation to within this range.When the sorter may be below the lower threshold or “slow downthreshold” (e.g., 60%), then the next lower sorter speed option may bepredicted to return operation to with this range. In variousembodiments, the change in sorter speed may be more than one speedoption or be proportional to an amount outside of this range in order tocorrect for large deviations.

In an embodiment, an ER operating range may be selected. In anembodiment, it may be critical for this algorithm that when a sorter isrunning at the speed up point of 80% of ER at the current given LRR thatthe next step up in LRR may result in the current TMU falling above 60%of the new ER (i.e., the slow-down threshold).

For example in TABLE 1, the five LRR sorter speed options are 450, 500,550, 600 and 650 ft/min. Defaults used in TABLE 1 include 27″ cartonsize, a 15″ gap size, a fixed recirculation line rate of 150 ft/min:

TABLE 1 Percentage of ER LRR DR ER 100% 90% 80% 70% 60% 50% 40% 30% 20%10% 450 129 289 289 260 231 203 174 145 116 87 58 29 500 143 321 321 289257 225 193 161 129 96 64 32 550 157 354 354 318 283 248 212 177 141 10671 35 600 171 386 386 347 309 270 231 193 154 116 77 39 650 186 418 418376 334 293 251 209 167 125 84 42 Increase LRR Same Decrease LRR

In one embodiment, system startup may involve the following:

A) If recirculation lane status is at warning or critical level use thelowest available LRR and start operation.

B) If accumulation status is less than or equal to 25%, start sorter atlowest available LRR and start operation. As used herein, accumulationstatus may mean a level of fullness on one or more pre-merge lanes in anon-singulator system.

C) If accumulation status is at 50% by less than 75%, start sorter atmiddle available LRR and start operation.

D) If accumulation status is at 75%, start sorter at highest availableLRR and start operation.

When the sorter indicates readiness to receive product and at what rate,the merge subsystem may respond with supplied product.

The sorter may stop when the merge subsystem does not have any productto supply to the sorter, when a jam is detected, or when an emergencystop (“E-Stop”) control may be activated. When responding to thedetected jam or E-stop, the sorter can be stopped and not diverting anyproduct and then waiting for the condition to be cleared. Whenrestarted, the sorter may push the current product on the sorter off tothe recirculation lane at the lowest available LRR (at or below therecirculation lane run rate if possible). The sorter may be set to thelowest available LRR, the TMU and OMRR may be reset, and operation maycontinue. Upon system shutdown or request by operator to stop, thesorter may clear the current product by either being diverted or torecirculation lane. The sorter may also operate in blow-through mode.

FIG. 1 illustrates a material handling system 100 including an optionalsingulator system 102, a presort system 110, an input conveyor system106, a sortation system 104, and an aftersort system 108 incommunication with a computing device 116. The presort system 110 may becomprised of various equipment such as receiving conveyors, automaticstorage and retrieval systems (ASRS), manufacturing systems, etc., thatinput items to the input conveyor system 106. The presort system 110 mayinclude various sensors 101, such as photoelectric sensors, motor speedsensors, etc., that may output information about the items in thepresort system 110 and/or the equipment comprising the presort system110 to the computing device 116. The input conveyor system 106 may becomprised of one or more conveyors, such as collection conveyors, thatmay receive the items from the presort system 110 and input the items tothe singulator system 102. The input conveyor system 106 may includevarious sensors 103, such as photoelectric sensors, motor speed sensors,etc., that may output information about the items in the input conveyorsystem 106 and/or the equipment comprising the input conveyor system 106to the computing device 116. The singulator system 102 may be comprisedof one or more conveyor, such as one or more wide bulk conveyor, and oneor more recirculation conveyor, and may accept an unregulated flow ofitems from the input conveyor system 106 and discharge the items as asingle file stream to the sortation system 104. The singulator system102 may include various optional sensors 105, such as photoelectricsensors, motor speed sensors, etc., that may output information aboutthe items in the singulator system 102 and/or the equipment comprisingthe singulator system 102 to the computing device 116. In variousembodiments, the singulator system 102 may be optional. The singulatorsystem 102 may be optional because in regulated flow systems, such assystem 200B described below with reference to FIG. 2B, the dischargefrom the input conveyor system 106 may already be in a single filestream, thereby reducing or eliminating a need for a singulator. Thesortation system 104 may be comprised of one or more sorters, such asone or more linear shoe sorters, that may convey the items received inthe single file stream from the singulator system 102 and divert singleitems and/or groups of items to conveyors or other equipment to move theitems to destinations in the aftersort system 108. For example, thesortation system 104 may be a linear shoe sorter and the run rate may bea linear run rate (“LRR”). The sortation system 104 may include varioussensors 107, such as photoelectric sensors, motor speed sensors, etc.,that may output information about the items in the sortation system 104and/or the equipment comprising the sortation system 104 to thecomputing device 116. The aftersort system 108 may be comprised ofvarious equipment and/or stations to handle the items received from thesortation system 104, such as packing stations, shipping docks, ASRS,etc. The aftersort system 108 may include various sensors 109, such asphotoelectric sensors, motor speed sensors, etc., that may outputinformation about the items in the aftersort system 108 and/or theequipment comprising the aftersort system 108 to the computing device116. In an embodiment, the singulator system 102, the presort system110, the input conveyor system 106, the sortation system 104, and/or theaftersort system 108 may communicate with one or more communicationsmodule 122 of the computing device 116 directly via one or more externalcommunications bus 136. Additionally or alternatively, the presortsystem 110, the input conveyor system 106, the sortation system 104,and/or the aftersort system 108 may communicate with the computingdevice 116 via a WMS and/or the WMS can provide information about thepresort system 110, the input conveyor system 106, the sortation system104, and/or the aftersort system 108 to the computing device 116.Additionally, a WMS or other external system (e.g., LMS, WCS, etc.), mayprovide material handling system state inputs, such labor inputs (e.g.,labor or staffing levels at upstream and/or downstream stations, workerrequirements for work assigned, predictions of workers assigned etc.),current work inputs, estimated completion times (e.g., estimatedcompletion times for tasks or waves), work characteristics (e.g., typesof items, number of items, etc.), and electric pricing period (e.g.,heavy demand period, low demand period, etc.), etc., to the computingdevice 116.

In an embodiment, the computing device 116 may include at least oneprocessor 118, data store 124, memory, and user interface 126communicating with each other via an internal communication bus 119. Theprocessor 118 may be configured with processor executable instructionsto perform operations described herein, for example to execute aconveyor controller module 128 including at least a singulatorcontroller module 129 and sorter controller module 130. The singulatorcontroller module 129 may be executed by the processor 118 to controlthe operations of the singulator system 102 (e.g., speeding up, slowingdown, and/or maintaining the speed of the singulator). The sortercontroller module 130 may be executed by the processor 118 to controlthe operations of the sortation system 104 (e.g., speeding up, slowingdown, and/or maintaining the speed of the singulator). Additionally, theconveyor controller module 128 may include other modules that may beexecuted by the processor 118 to control the operations of the presortsystem 110, input conveyor system 106, and/or aftersort system 108. Inthis manner, by executing the various modules of the conveyor controllermodule 128, the computing device 116 may control the operations of thematerial handling system 100. In an embodiment, the various sensors 101,103, 105, 107, and 109 may output sensor information to the processor118 and the sensor data may be used by the processor in executing thevarious modules of the conveyor controller module 128 to makedeterminations to guide the operations of the material handling system100, such as the speeds of the singulator system 102, the presort system110, the input conveyor system 106, the sortation system 104, and/or theaftersort system 108. Additionally, the material handling system stateinputs provided to the computing device 116 by a WMS or other externalsystem (e.g., LMS, WCS, etc.) may be used by the conveyor controllermodule 128, for example by the singulator controller module 129 and/orthe sorter controller module 130, to make determinations to guide theoperations of the material handling system 100, such as the speeds ofthe singulator system 102, the presort system 110, the input conveyorsystem 106, the sortation system 104, and/or the aftersort system 108.

In an embodiment, the sorter controller module 130 may operate thesortation system 104 at a first run rate. For example, the first runrate may be one of “x” discrete linear run rates (“LRR_(1-x)”) asdepicted at 115. The sorter controller module 130 may determine amaximum throughput value of the sortation system 104 at the first runrate. The sorter controller module 130 may monitor an actual throughputvalue, which may be retained in a throughput register 113 of thesortation system 104 for a period of time tracked by a timer 111. Thesorter controller module 130 may compare a ratio of the actualthroughput value to the maximum throughput value with a first threshold,for example an upper threshold 112. The sorter controller module 130 mayoperate the sortation system 104 at a second run rate in response to theratio being outside of the first threshold (e.g., upper threshold 112),such as being greater than or above the upper threshold 112.Alternatively or in addition, the sorter controller module 130 mayoperate the sortation system 104 at a third run rate in response to theratio being outside of a second threshold, for example being less thanor below a lower threshold 114.

Processor 118 may include a single or multiple set of processors ormulti-core processors. Moreover, processor 118 may be implemented as anintegrated processing system and/or a distributed processing system.Memory 120 may include any type of memory usable by a computer, such asrandom access memory (RAM), read only memory (ROM), tapes, magneticdiscs, optical discs, volatile memory, non-volatile memory, and anycombination thereof. Additionally, a data store device 124, may be anysuitable combination of hardware and/or software, that provides for massstorage of information, databases, and programs employed in connectionwith aspects described herein. For example, data store device 124 may bea data repository for applications not currently being executed byprocessor 118. The user interface component 126 may be operable toreceive inputs from a user of computing device 116, and further operableto generate outputs for presentation to the user. User interfacecomponent 126 may include one or more input devices, including but notlimited to a keyboard, a number pad, a mouse, a touch-sensitive display,a navigation key, a function key, a microphone, a voice recognitioncomponent, any other mechanism capable of receiving an input from auser, or any combination thereof. Further, user interface component 126may include one or more output devices, including but not limited to adisplay, a speaker, a haptic feedback mechanism, a printer, any othermechanism capable of presenting an output to a user, or any combinationthereof.

FIGS. 2A and 2B are top view diagrams of material handling systems 200Aand 200B, respectively, with a functional schematic of a conveyorcontroller 205 according to various embodiments. FIG. 2A illustratesmaterial handling system 200A which may include a singulator 202, whileFIG. 2B illustrates an alternative material handling system 200B issimilar to material handling system 200A, but which may not include asingulator.

Referring to FIG. 2A, material handling system 200A is illustratedincluding a singulator 202 that may receive an unregulated and/oroverlapping flow of items from input conveyors 215 and output a singlefile stream of items 201 to a sortation system 204, such as a sortationsystem including a linear sliding shoe sorter 223. The input conveyors215, such as collector conveyors, may receive items from presort systems228 and sort these items under overall control by a warehouse managementsystem (“WMS”) 207. For example, the WMS 207 can track items that arrivein a receiving area 209 and/or that are buffered in an Automated Storageand Retrieval System (“ASRS”) 211. Additionally, the WMS 207 can trackitems that arrive in the shipping area 213 for shipment out of thematerial handling system 200A. The WMS 207 may also track additionalinformation, such as labor levels, current work levels, estimatedcompletion times, and work characteristics to generate material handlingsystem state inputs. For example, the WMS 207 may identify work assignedin the material handling system 200A and whether or not requirements forthat work are met or not. As an additional example, the WMS 207 mayidentify labor (or staffing) levels at stations associated with thematerial handling system 200A, such as the number of workers assigned tosort lines at the shipping area 213. Further, the WMS 207 may predictthe labor (or staffing) level at a station associated with the materialhandling system 200A at a given time, such as the number of assignedworkers, by accounting for various factors that impact labor levels,such as the current season (e.g., holiday staffing levels, summerstaffing levels, etc.), work schedule (e.g., breaks, shift changes,etc.), and/or worker assignment changes. As another example, the WMS 207may track information about the work being performed by the materialhandling system 200A, such as current work assigned (e.g., orders tofill), estimated completion time of tasks or waves being processed, thecharacteristics of the work being performed (e.g., type of cartons oritems being moved and size of those items or cartons), etc. In thismanner, by tracking the additional information, such as labor levels,current work levels, estimated completion times, and workcharacteristics, the WMS 207 may generate material handling system stateinputs and provide the inputs to the conveyor controller 205 enablingthe conveyor controller to control various conveyor operations, such asconveyor speeds, in the material handling system 200A based at least inpart on the inputs from the WMS 207. While illustrated and described asa WMS 207, WMS 207 is merely on example of an external system that mayprovide inputs to the conveyor controller 205, and other externalsystems, singularly or in combinations, such as an LMS, WCS, etc., mayprovide inputs to the conveyor controller 205.

Items are directed to input conveyors 215 for release onto thesingulator 202, which in turn singulates the items into a single filestream of items 201 output onto the sorter 204. Items on the singulatorwhich are not successfully singulated into the single file stream 201may be re-circulated back to the start of the singulator via therecirculation conveyor 219. An initial portion of the sorter 204 may bean induct conveyor operating to identify each item in the single filestream of items 201 by a scanner 221. The items then pass over a linearshoe sorter 223 of the sortation system 204 for selective diverting byshoes 225 to destinations, depicted as take-away conveyors 227. Thoseitems that are not diverted may be taken by a recirculation conveyor 229back to the singulator 202.

A conveyor controller 205, such as implemented by the computing device116 (FIG. 1) may be in communication with the singulator 202 and/or thesortation system 204 to perform singulator and sorter controloperations. The conveyor controller 205 may receive inputs, such as fromthe WMS 207, sensors 231 (e.g., photoeyes, fullness sensors, volumesensors, speed sensors, etc.) on the input conveyors 215, sensor 233(e.g., photoeyes, fullness sensors, volume sensors, speed sensors, etc.)on the recirculation conveyor 229, and sensors 235 (e.g., photoeyes,fullness sensors, volume sensors, speed sensors, etc.) on the take-awayconveyors 227. The conveyor controller 205 may operate the singulator202 and optionally the sortation system 204 at variable speeds based atleast in part on sensor data received from one or more of the sensors231, 233, 235, speed or other state information received from the inputconveyors 215, singulator 202, sortation system 204, and/or take-awayconveyors 227, information from the WMS 207, and/or data received fromother sources. In this manner, inputs from one or more of the sensors231, 233, 235, speed or other state information received from the inputconveyors 215, singulator 202, sortation system 204, and/or take-awayconveyors 227, information (e.g., material handling system state inputs)from the WMS 207 (e.g., labor levels, current work levels, estimatedcompletion times, work characteristics, etc.), and/or data received fromother sources may be used by the conveyor controller 205 to determinedownstream capacity and adjust the speed of conveyors, such assingulator 202, the sortation system 204, and/or other conveyors.

In an embodiment, the conveyor controller 205 may operate the sortationsystem 204 or another conveyor, as a specific example the linear shoesorter 223, at a first run rate, determine a maximum throughput value ofthe sortation system 204 or another conveyor at the first run rate,monitor an actual throughput value of the sortation system 204 oranother conveyor, compare a ratio of the actual throughput value to themaximum throughput value with a first threshold, and operate thesortation system 204 or another conveyor at a second run rate inresponse to the ratio being outside of the first threshold. Themonitoring may maintain the sortation system 204 or another conveyorwithin a range of effective rates of utilization. To that end, theconveyor controller 205 of the material handling system 200A may furtherperform operations to operate the sortation system 204 or anotherconveyor at the second run rate that may be greater than the first runrate in response to the ratio being greater than the first threshold, tocompare the ratio with a second threshold that is lower than the firstthreshold, and to operate the sortation system 204 or another conveyorat a third run rate that is less than the first run rate in response tothe ratio being less than the second threshold.

Referring to FIG. 2B, an alternative material handling system 200B isillustrated. Material handling system 200B is similar to materialhandling system 200A, except that rather than including a singulator202, in material handling system 200B items 260 may be directed toaccumulation lanes 215 for slug or zippered release onto a mergeconveyor 217, which in turn carries the items 260 onto an inductconveyor 255 for being identified by scanner 221. Conveyor controller205 may control the slug or zippered release of items 260 byaccumulation lanes 215.

FIG. 3 is a process flow diagram illustrating an embodiment method 300for controlling the speed of a conveyor. The operations of method 300may be used to dynamically control the speed of any conveyor, specificexamples of which include singulators, sorters, etc. In an embodiment,the operations of method 300 may be performed by a processor of aconveyor controller configured to control the operations (e.g., speed orrun rate) of a conveyor (e.g., a singulator, sorter, etc.) in a materialhandling system.

In block 302 the processor may operate the conveyor (e.g., a singulator,a sorter, or any other type of variable speed conveyor) at an initialspeed (or run rate). In block 304 the processor may monitor one or morematerial handling system state inputs. Inputs may include any type ofdata associated with the material handling system, and the processor maymonitor the inputs by comparing the received inputs singularly or invarious combinations to threshold levels to determine whether the inputsfall below, meet, or exceed those threshold levels. In this manner, theprocessor may determine state information about the material handlingsystem and items in the material handling system (e.g., upstream and/ordownstream capacity) based on the monitored inputs. As examples,material handling system state inputs may be information provided to theprocessor from the WMS (e.g., labor levels, current work levels,estimated completion times, work characteristics, electrical pricingperiod indications, etc.), from sensors, (e.g., photoeyes, fullnesssensors, volume sensors, speed sensors, etc.) on the input conveyors,recirculation conveyors, and/or take-away conveyors, from the conveyorsthemselves, and/or from other sources. Material handling system stateinputs may be generated by various external systems (e.g., WMS, LMS,WCS, etc.) in various manners, for example by identifying and/orpredicting work assigned in the material handling system and whether ornot requirements for that work are met or not, by identifying and/orpredicting labor (or staffing) levels at stations associated with thematerial handling system, such as the number of workers assigned to sortlines at the shipping area accounting for various factors that impactlabor levels, such as the current season (e.g., holiday staffing levels,summer staffing levels, etc.), work schedule (e.g., breaks, shiftchanges, etc.), and/or worker assignment changes, by trackinginformation about the work being performed by the material handlingsystem, such as current work assigned (e.g., orders to fill), estimatedcompletion time of tasks or waves being processed, the characteristicsof the work being performed (e.g., type of cartons or items being movedand size of those items or cartons), and/or by determining the currentelectrical pricing period. These material handling system state inputsmay then be used by the processor of a conveyor controller (e.g., asortation system controller, singulator system controller, etc.) todetermine whether the speed (or run rate) of conveyor systems should bechanged.

In determination block 306 the processor may determine whether the oneor more material handling system state inputs meet speed change (or runrate change) requirements for the conveyor. As an example, speeds (orrun rates) may be associated with threshold values of the inputs in amemory available to the processor, such as a data table, and theprocessor may determine whether the inputs meet, exceed, or fall belowthe threshold values which may indicate whether one or more speed changerequirement for the conveyor may be met. In response to determining oneor more speed change (or run rate change) requirement is not met (i.e.,determination block 306=“No”), the processor may continue to monitor theone or more inputs in block 304. In response to determining the one ormore material handling state inputs meet one or more speed (or rate)change requirements (i.e., determination block 306=“Yes”), the processormay determine a new speed of the conveyor based at least in part on theinputs. As an example, a data table stored in memory may correlateoptimal speeds of the conveyor with one or more various input values,and the processor may select the new speed as the speed correlated withthe determined one or more input values. As another example, theprocessor may select a function for controlling the speed of theconveyor and the determined inputs may be inputs to the function whichmay output a resulting conveyor speed. In block 310 the processor mayoperate the conveyor at the new speed (or rate). For example, theprocessor may send a speed (or rate) setting command to the motor ormotors of the conveyor to operate the conveyor at the new speed (orrate). The method 300 may proceed to block 304 to monitor inputs. Inthis manner, the speed of the conveyors may be continually anddynamically adjusted based at least in part on the state of the materialhandling system and the items moving through the material handlingsystem.

In FIG. 4, a method 400 according to one or more aspects of the presentdisclosure depicts controlling sortation of items by a material handlingsystem. In an embodiment, the operations of method 400 may be performedby a processor of a conveyor controller configured to control theoperations (e.g., speed or run rate) of a sortation system in a materialhandling system. In an embodiment, the controller may perform one ormore operations of method 400 to determine whether one or more materialhandling system state inputs meet speed change (or run rate change)requirements for the sortation system and determine a new speed (or runrate) for the sortation system. The controller may operate a sortationsystem at a first run rate (or speed) (block 410). The controller maydetermine a maximum throughput value of the sortation system at thefirst run rate (block 420). For example, the throughput value could beincorporated into a lookup table. Alternatively, the controller maycalculate the value. The controller may monitor an actual throughputvalue of the sortation system (block 430). The controller compares aratio of the actual throughput value to the maximum throughput valuewith a first threshold (block 440). A determination is made as towhether the ratio outside of a first threshold. For example, the firstthreshold can be an upper threshold (Tu) such that being outside refersto being greater than the upper threshold (block 450). If greater inblock 450, then the controller may operate the sortation system at asecond run rate in response to the ratio being outside of the firstthreshold. For the example given, the controller increases the run rate(or speed) (block 460). If not greater in block 450, then a furtherdetermination may be made as to whether the ratio is less than a secondthreshold, in particular a lower threshold (T_(L)) (block 470). If so,then the controller may operate the sortation system at a third run rate(or speed) that is less than the first run rate (or speed) in responseto the ratio being less than the second threshold (block 480).Otherwise, the current run rate (or speed) may be within a range betweenthe upper and lower threshold. Thus, the controller may maintain thecurrent run rate (or speed) by returning processing to block 410 forcontinued monitoring.

In an exemplary aspect, changes in the run rate (or speed) may be madeafter monitoring the throughput rate for a period of time so that thesortation system may not be frequently changing rate in a distractingmanner. For example, the period of time can be a time period greaterthan one minute. As another example, the time period can be ten minutesor greater.

In one or more embodiment, the method 400 may also include monitoring avalue representing the unavailability of aftersort destinations of thesortation system and reducing a run rate of the sortation system inresponse to the unavailability value exceeding a first recirculationthreshold.

In various embodiments, the method 400 may also include monitoring avalue representing the unavailability of aftersort destinations of thesortation system, and reducing inductions to the sortation system inresponse to the unavailability value exceeding a second recirculationthreshold.

In various embodiments, the method 400 may also include determining thatan accumulated quantity on an accumulation lane that inducts to thesortation system exceeds a fullness threshold, and operating thesortation system at an increased run rate in response to the accumulatedquantity exceeding the fullness threshold. In a particular aspect, themethod 400 may further include receiving an alert of an impendingincrease in quantity of inventory to be conveyed to the accumulationlane, and operating the sortation system at an increased run rate (orspeed) in response to the alert.

In various embodiments, the method 400 may also include monitoring ausage level of a recirculation conveyor, determining that the usagelevel exceeds a threshold, operating the sortation system at a reducedthroughput rate in response to the usage level exceeding the threshold.In a particular aspect, the method 400 may further include monitoringthe usage level by monitoring a current fullness level of therecirculation conveyor. Alternatively, monitoring the usage level can beby determining a projected fullness level of the recirculation conveyorbased upon a quantity of inducted objects destined for the recirculationconveyor. In an exemplary aspect, operating the sortation system at areduced throughput rate may be by stopping induction of items on thesortation system, and operating the sortation system at a reduced runrate of the recirculation conveyor.

In FIGS. 5A-5B, a method 500 for controlling a sortation system of amaterial handling system is depicted. In an embodiment, the operationsof method 500 may be performed by a processor of a conveyor controllerconfigured to control the operations (e.g., speed or run rate) of asortation system in a material handling system. It should be appreciatedthat certain threshold numbers or durations or run rates describedherein are illustrative and that optimizations may be made forparticular configurations and requirements for a material handlingsystem. It should also be appreciated that implementations consistentwith aspects of the present disclosure may include some subset offeatures and that the operations of method 500 are illustrative and notall inclusive. In an embodiment, the controller may perform one or moreoperations of method 500 to determine whether one or more materialhandling system state inputs meet speed change (or run rate change)requirements for the sortation system and determine a new speed (or runrate) for the sortation system. With initial reference to FIG. 5A, themethod 500 may begin with an initialization procedure performed by thecontroller, such as by resetting monitored quantities and timers (block502) in the exemplary version, a Ten Minute Utilization (TMU) value andTen Minute Recirculation Rate (TMRR) value are maintained and a tenminute timer and a one minute timer are started. A sortation controllermay operate the sortation system at a current run rate (or speed) (block504). For example, a linear run rate for a linear shoe sorter may beselected based upon a default value (e.g., full rate), based upon aquantity of items already accumulated.

Recirculation of the sortation system may be one factor addressed by thecontroller determining current or projected fullness of therecirculation lane or conveyor of the sortation system (block 506). TheTMRR value may represent a dynamic running total of carton footage thatis currently on the sorter that is known to be destined for therecirculation lane. This determination may be known at the time ofinduction in that a destination may not be available or may be knownsubsequently when a failure to divert is detected. A determination maybe made by the controller as to whether the fullness of therecirculation lane exceeds a threshold (block 508). For example, thethreshold could be based upon a prediction of overrunning therecirculation lane or for the recirculation lane already being 75% full.If the threshold is met or exceeded in block 508, then all merge lanesmay be disabled by the controller except for a recirculation lane (block510). Alternatively, the sortation controller may stop inducting itemsonto the sorter. The run rate (or speed) may be reduced by thecontroller (block 512). For example, if possible, the controller slowsthe sorter to match the rate of the recirculation lane. The controllermay continue to clear product offofthe sorter (block 514). Processingmay then return to block 502 to begin the cycle again. In an exemplaryembodiment, the controller performing operations of method 500 may waitfor the cause of the stop to be cleared. The current run rate (or speed)(e.g., the linear run rate) may be set to the lowest LRR option, whichmay be the recirculation rate (or speed).

If the determination in block 508 is that the fullness of therecirculation lane does not exceed the threshold, then the fullness ofthe enabled aftersort lanes may be monitored by the controller (block516). Then a determination may be made by the controller as to whetherall enabled after sort lanes are full (block 518). If full in block 518,then processing proceeds to blocks 510-514 to stop inducting, to reducethe run rate, and to clear the sorter as described above. Ifrecirculation space is not available to clear the sorter, then thesorter can be stopped. If not full in block 518, then a furtherdetermination may be made by the controller as to whether an aftersortthreshold (T_(A)) of the enabled aftersort lanes is exceeded (block520). For example, T_(A) may be 50%. If exceed in block 520, then therun rate may be set to a minimum or lowest run rate (or speed) by thecontroller (block 522) and the cycle may return to block 502.

The sortation controller may be responsive to demand requests that areexternal to the subsystems directly monitored by the sortationcontroller. For example, the sortation controller may monitor for anydemand request from a WMS (or other system, such as LMS, WCS, etc.), auser interface, and/or another controller (block 524). For example, ademand request may be an indication of down stream capacity available ona conveyor downstream of the sortation system. A determination may bemade by the controller in block 526 as to whether such a demand has beenreceived. If so, the run rate (or speed) may be changed to correspond tothe demand request (block 528). The cycle can return to block 502.

If a demand is not received, the sortation controller may be responsiveto an apparent demand that is sensed based upon a state of theaccumulation lanes. To that end, the sortation controller may receiveinputs from fullness sensors on the accumulation lanes (block 529). Forexample, photo eyes that remained block at point on each accumulatorlane can indicate 100% full, 75% full, 50% full, etc. A determinationmay be made by the controller as to whether a fullness threshold (T_(F))has been met or exceeded (block 530). In response to the trigger of theT_(F) being met or exceeded, the run rate (or speed) may be increased bythe controller (block 532) and processing may return to block 502 foranother control cycle. For example, if the sum of all merge lanefullness is above the fullness threshold (T_(F)), such as 50%, then thecontroller may set the run rate to full speed.

The sortation controller may be responsive to supply requests that areexternal to the subsystems directly monitored by the sortationcontroller. For example, the sortation controller may monitor for anysupply request from a WMS, a user interface, and/or another controller(block 534). For example, a supply request may be an indication ofupstream items that are ready to be released toward the sortationsystem, such as by an accumulation system. A determination may be madeby the controller in block 536 as to whether such a supply request hasbeen received. If so, the run rate (or speed) may be changed by thecontroller to correspond to the supply request (block 538) and the cyclemay return to block 502.

Continuing in FIG. 5B, when no supply request prompts the sortationcontroller to change sorter operation, the controller may monitor forstate inputs that are external to the subsystems directly monitored bythe sortation controller. For example, the sortation controller maymonitor for WMS (or other system, such as LMS, WCS, etc.) or userinterface provided labor or other material handling system state inputs.Material handling system state inputs from the external systems mayinclude labor inputs, such as requirements for work assigned, workersassigned and the locations of those workers, predictions of workersassigned, etc., current work inputs, estimated completion times, such ascompletion times of tasks and/or waves, and/or inputs indicative ofcharacteristics of work, such as types of items (e.g., tote, carton,etc.) and sizes of items. Other inputs from external systems may includepower pricing inputs (e.g., peak or off peak operating stateinformation). A determination may be made by the controller in block 537as to whether such labor or other inputs have been received. If so, therun rate (or speed) may be changed to correspond to the labor or otherinputs (block 539). The cycle can then return to block 502 of FIG. 5A.

When labor or other inputs are received by the sortation controller tochange sorter operation, the sortation controller may adjust the runrate (or speed) of the sorter to maintain within a range of effectiverates. The sortation controller may determine a maximum sorterthroughput at the current run rate (block 540). The sortation controllermay monitor actual sorter throughput at the current run rate (block542). A determination may be made by the controller as to whether theapplicable timer has expired (e.g., 1 minute, 10 minute, etc.) (block544). If not expired, then the controller may continue to monitor inblock 542. If expired in block 544, a comparison may be made by thecontroller between the ratio of the actual throughput to the determinedmaximum throughput (Actual/Max (A/M)) at the current run rate to anupper threshold and a lower threshold (block 546). If the controllerdetermines the A/M is greater than the upper threshold in block 548,then the run rate (or speed) may be increased by the controller (block550). If the controller determines the A/M is less than the lowerthreshold in block 552, then the run rate (or speed) may be decreased bythe controller (block 554). If A/M is not greater than the upperthreshold in block 548 nor below the lower threshold in block 552, thenthe run rate (or speed) may be maintained by the controller (block 556).Upon performing operations of blocks 550, 554, or 556, the controllermay return to block 502 of FIG. 5A.

FIG. 6 is illustrates an embodiment method 600 for controlling the speedof a singulator based at least in part on an amount of items and/orvolume of flow from one or more input conveyors. In an embodiment, theoperations of method 600 may be performed by a processor of a conveyorcontroller configured to control the operations (e.g., speed or runrate) of a singulator in a material handling system). In an embodiment,the processor of the controller may perform one or more operations ofmethod 600 to determine whether one or more material handling systemstate inputs meet speed change (or run rate change) requirements for thesingulator and determine a new speed (or run rate) for the singulator.

In block 602 the processor may operate the singulator at a default speed(or run rate). In block 604 the processor may monitor sensors associatedwith the input conveyors that provide items to the singulator. Forexample, the sensors may be photoelectric sensors monitoring portions ofthe input conveyors that output indications as items pass onto the inputconveyors. The sensors may output sensor data (e.g., indications of theitems on the input conveyors) to the processor and in block 606 theprocessor may determine the amount of items and/or volume of flow forthe input conveyors based on the sensor data from the monitored sensors.For example, using position tracking of the items indicated by thesensors the processor may determine a loading level or volume of flow ofitems coming from the input conveyors to the singulator. Indetermination block 608 the processor may determine whether the amountof items and/or volume of flow of items from the input conveyors isabove a threshold for the current speed of the singulator. As anexample, speeds of the singulator may be related to threshold values ina memory available to the processor, such as in a data table. Eachthreshold value may indicate an amount of items and/or volume of flowthat may represent an amount or volume that would justify increasing thespeed of the singulator. Amounts or volumes that may justify increasingthe speed of the singulator may be amounts or volumes of items that maybe handled more efficiently (e.g., with less item recirculation) by thesingulator when operating at a higher speed. These amounts or volumesand their related speeds may be predetermined and stored in the memoryavailable to the processor. The processor may determine whether theamount of items and/or volume of flow of items from the input conveyorsis above a threshold for the current speed of the singulator bycomparing the threshold value correlated with the current speed settingof the singulator in the data table to the determined amount of itemsand/or volume of flow of items from the conveyor.

In response to determining the amount of items and/or volume of flow ofitems is not above the threshold for the current speed (i.e.,determination block 608=“No”), the processor may continue to monitor thesensors associated with the input conveyors in block 604. In response todetermining the amount of items and/or volume of flow of items is abovethe threshold for the current speed (i.e., determination block608=“Yes”), in block 610 the processor may determine a new speed of thesingulator based at least in part on the amount of items and/or volumeof flow for the conveyors. As an example, a data table stored in memorymay correlate optimal speeds of the singulator with amounts or volumesof items, and the processor may select the new speed as the speedcorrelated with the determined amount or volume of items. As anotherexample, the processor may select a function for controlling the speedof the singulator and the determined amount of items or volume of flowof items may be an input to the function which may output a resultingsingulator speed. In block 612 the processor may operate the singulatorat the new speed. For example, the processor may send a speed settingcommand to the motor or motors of the singulator to operate the newspeed of the singulator. The method 600 may proceed to block 604 tomonitor the sensors associated with the input conveyors. In this manner,the speed of the singulator may be continually monitored and dynamicallyadjusted based at least in part on the items being input to theconveyor.

FIG. 7 is a process flow diagram illustrating an embodiment method 700for controlling the speed of a singulator based at least in part on aflow state downstream of the singulator. In an embodiment, the processorof the controller may perform one or more operations of method 700 todetermine whether one or more material handling system state inputs meetspeed change (or run rate change) requirements for the singulator anddetermine a new speed (or run rate) for the singulator. In anembodiment, the operations of method 700 may be performed by a processorof a conveyor controller configured to control the operations (e.g.,speed or run rate) of a singulator in a material handling system. Inblocks 602, 604, 606, 608, 610, the processor may perform likeoperations of like numbered blocks of method 600 described above in FIG.6. Upon determining a new speed in block 610, in block 701 the processormay monitor the flow state downstream of the singulator. As an example,the processor may monitor sensors associated with a sorter, such as aslide shoe sorter, and/or divert conveyors downstream of the singulatorto monitor the flow state downstream of the singulator. As anotherexample, the processor may receive data about the flow state downstreamof the singulator from a WMS to monitor the flow state downstream of thesingulator. In an embodiment, the flow state downstream may be furtherbased on labor levels downstream. For example, the staffing level in ashipping area may constrain the amount of items and/or volume of flow ofitems that may be handled in a shipping area. In determination block 707the processor may determine whether the flow state downstream of thesingulator supports a speed increase of the singulator. For example,flow states downstream of the singulator may be correlated withthresholds values in a memory available to the processor, such as in adata table, and when a flow state downstream of the singulator is at orabove a threshold value the flow state may be determined to supportspeed increase. For example, when excess capacity on a sorter or excesscapacity in a packing area based on staffing levels is identified thedownstream flow state may support a speed increase and when a sorter isat maximum speed or a packing area is understaffed the flow state maynot support a speed increase. In response to determining the flow statedoes not support speed increase (i.e., determination block 707=“No”),the speed of the singulator may not be changed, and in block 604 theprocessor may continue to monitor the sensors associated with the inputconveyors. In response to determining the flow state does support thespeed increase to the determined new speed (i.e., determination block707=“Yes”), the singulator may be operated at the new speed in block612.

In response to determining the amount of items and/or volume of flow ofitems is not above the threshold for the current speed (i.e.,determination block 608=“No”), in block 702 the processor may monitorthe flow state downstream of the singulator. As an example, theprocessor may monitor sensors associated with a sorter, such as a slideshoe sorter, and/or divert conveyors downstream of the singulator tomonitor the flow state downstream of the singulator. As another example,the processor may receive data about the flow state downstream of thesingulator from a WMS to monitor the flow state downstream of thesingulator. In an embodiment, the flow state downstream may be furtherbased on labor levels downstream. For example, the staffing level in ashipping area may constrain the amount of items and/or volume of flow ofitems that may be handled in a shipping area. In determination block 704the processor may determine whether the flow state downstream of thesingulator supports a speed reduction of the singulator. For example,flow states downstream of the singulator may be correlated withthresholds values in a memory available to the processor, such as in adata table, and when a flow state downstream of the singulator is belowa threshold value the flow state may be determined to support speedreduction. In response to determining the flow state does not supportspeed reduction (i.e., determination block 704=“No”), the speed of thesingulator may not be changed, and in block 604 the processor maycontinue to monitor the sensors associated with the input conveyors.

In response to determining the flow state does support speed reduction(i.e., determination block 704=“Yes”), in block 706 the processor maydetermine a new speed of the singulator based at least in part on theflow state downstream. As an example, the flow state downstream valuesmay be correlated with singulator speed settings in a memory availableto the processor, and the processor may select the new speed as thespeed correlated with the determined flow state downstream. As anotherexample, the processor may select a function for controlling the speedof the singulator and the determined flow state downstream may be aninput to the function which may output a resulting singulator speed. Inblock 612 the processor may operate the singulator at the new speed. Forexample, the processor may send a speed setting command to the motor ormotors of the singulator to operate the new speed of the singulator. Themethod 700 may proceed to block 604 to monitor the sensors associatedwith the input conveyors. In this manner, the speed of the singulatormay be continually monitored and dynamically adjusted based at least inpart on the items being input to the conveyor and/or the flow statedownstream of the singulator.

FIG. 8 illustrates an exemplary processing architecture 800 of amaterial handling system 802 suitable for use with the variousembodiments. The processing architecture 800 may be implemented inhardware, software, or combinations of hardware and software in onecomputing device or across a series of computing devices incommunication with each other as needed to perform the functionalitydescribed herein.

The material handling system 802 may include a computing device 803including a processor readable shared memory 804 connected to one ormore processors 812. The one or more processors may function ascontrollers for the material handling system 802. For example, oneprocessor may be a primary controller while another may serve as abackup controller that may be swapped for the primary controllerautomatically or by maintenance personnel in the event of a failurewithout undue service downtime. The shared memory 804 may include anoperating system (e.g., Windows, Linux, etc.) and real time extension810.

The one or more processors 812 may execute various logical layers,applications, or modules including a material handling controls 814,scans 826, user interface data access 834, middleware routing 836,device communications 840, operating system services 838, andinput/output drivers 839. The various logical layers, applications, ormodules including material handling controls 814, scans 826, userinterface data access 834, middleware routing 836, device communications840, operating system services 838, and/or input/output drivers 839 maybe executed in conjunction with one another and exchange data with oneanother. As the one or more processors receive inputs (e.g., signalsfrom switches, photo eyes, etc., data messages, or other various inputtypes) the various logical layers, applications, or modules includingmaterial handling controls 814, scans 826, user interface data access834, middleware routing 836, device communications 840, operating systemservices 838, and/or input/output drivers 839 may be executedindividually and/or in concert by the one or more processors 812 togenerate outputs (e.g., electrical signals to motor contacts, solenoidvalves, switches, lamps, etc., data messages, or other output types).

Scans 826 may be repeatedly executed by the one or more processors 812and may include a read inputs module 828, a solve logic module 830, anda write outputs module 832. By executing the various logical operationsof the modules 828, 830, and 832 on a regular period basis the scans 826may be counted to measure time. The solve logic module 830 mayincorporate any type of logic, including “if-then-else” branching logic,motion control logic, simple logic, sophisticated logic, hard linedlogic, configured logic, etc. Data used by the solve logic module 830may reside in the shared memory 804, such as data 806, or a local,remote, or cloud-based data storage device, such as data store 854.Scans 826 may be performed at different intervals, for example scans formotion control may occur every 1 millisecond to 2 milliseconds, scansfor merge subsystems may occur every 5 milliseconds, and generalconveyor scans may occur every 25 milliseconds.

Material handling controls 814 may include order fulfillment module 816,conveyor or other material handling equipment control module 818including a machine control module 820 to generate instructions forconveyors and/or other material handling equipment, singulator speedcontrol module 824 to monitor conditions and adjust speeds forsingulators within a material handling system (e.g., a distributioncenter), sortation speed control module 825 to monitor conditions andadjust speeds for sorters within the material handling system, and adynamic run rate or usage driven run rate module 827 to adjust theconveyor or other material handling equipment run rates, as well as anorder manager module 822 and route manager module 821.

The one or more processor 812 may exchange data with scanners 842,sensors 844, actuators 848, diagnostic systems 850, material handlingequipment controls 846 (such as conveyor controls), data store 854, andother devices 852 (e.g., scales, printers, etc.) via network connections856 (e.g., TCP/IP connections, Ethernet connections, Ethercatconnections, PROFIBUS connections, RS 232 connections, USB connections,Wi-Fi connections, cellular connections, etc.). The processingarchitecture 800 may include other systems interfacing with the materialhandling system 802 via network connections 874 (e.g., TCP/IPconnections, Ethernet connections, Ethercat connections, PROFIBUSconnections, RS 232 connections, USB connections, Wi-Fi connections,cellular connections, etc.), such as user interface devices 858 (e.g., adisplay, user terminal, etc.) displaying a local application 860 or webapplication 862, host communication devices 864 enabling communicationwith a host device 867 (e.g., via FTP, TCP/IP, etc.), a database 870, awarehouse control system (WCS) 871, and/or a warehouse management system(WMS) 872 or other external system (e.g., LMS). A host device may alsoinclude a merge mode module or application 868 which may transmitinformation related to the merging operations of containers to the oneor more processors 812 of the material handling system 802.

The various embodiments may be implemented in any of a variety ofcomputing devices, an example of which is illustrated in FIG. 9. Acomputing device 900 will typically include a processor 901 coupled tovolatile memory 902 and a large capacity nonvolatile memory, such as adisk drive 905 of Flash memory. The computing device 900 may alsoinclude a floppy disc drive 913 and a compact disc (CD) drive 914coupled to the processor 901. The computing device 900 may also includea number of connector ports 915 coupled to the processor 901 forestablishing data connections or receiving external memory devices, suchas a USB or FireWire® connector sockets, or other network connectioncircuits for establishing network interface connections from theprocessor 901 to a network or bus, such as a local area network coupledto other computers and servers, the Internet, the public switchedtelephone network, and/or a cellular data network. The computing device900 may also include the trackball or touch pad 917, keyboard 918, anddisplay 919 all coupled to the processor 901.

The various embodiments may also be implemented on any of a variety ofcommercially available server devices, such as the server 1000illustrated in FIG. 10. Such a server 1000 typically includes aprocessor 1001 coupled to volatile memory 1002 and a large capacitynonvolatile memory, such as a disk drive 1003. The server 1000 may alsoinclude a floppy disc drive, compact disc (CD) or DVD disc drive 1004coupled to the processor 1001. The server 1000 may also include networkaccess ports 1006 coupled to the processor 1001 for establishing networkinterface connections with a network 1007, such as a local area networkcoupled to other computers and servers, the Internet, the publicswitched telephone network, and/or a cellular data network.

The processors 118, 812, 901, and 1001 may be any programmablemicroprocessor, microcomputer or multiple processor chip or chips thatcan be configured by software instructions (applications) to perform avariety of functions, including the functions of the various embodimentsdescribed above. In some devices, multiple processors may be provided,such as one processor dedicated to wireless communication functions andone processor dedicated to running other applications. Typically,software applications may be stored in the internal memory 120, 804,902, 905, 1002, and 1003 before they are accessed and loaded into theprocessors 118, 812, 901, and 1001. The processors 118, 812, 901, and1001 may include internal memory sufficient to store the applicationsoftware instructions. In many devices the internal memory may be avolatile or nonvolatile memory, such as flash memory, or a mixture ofboth. For the purposes of this description, a general reference tomemory refers to memory accessible by the processors 118, 812, 901, and1001 including internal memory or removable memory plugged into thedevice and memory within the processor 118, 812, 901, and 1001themselves.

The foregoing method descriptions and the process flow diagrams areprovided merely as illustrative examples and are not intended to requireor imply that the steps of the various embodiments must be performed inthe order presented. As will be appreciated by one of skill in the artthe order of steps in the foregoing embodiments may be performed in anyorder. Words such as “thereafter,” “then,” “next,” etc. are not intendedto limit the order of the steps; these words are simply used to guidethe reader through the description of the methods. Further, anyreference to claim elements in the singular, for example, using thearticles “a,” “an” or “the” is not to be construed as limiting theelement to the singular.

The various illustrative logical blocks, modules, circuits, andalgorithm steps described in connection with the embodiments disclosedherein may be implemented as electronic hardware, computer software, orcombinations of both. To clearly illustrate this interchangeability ofhardware and software, various illustrative components, blocks, modules,circuits, and steps have been described above generally in terms oftheir functionality. Whether such functionality is implemented ashardware or software depends upon the particular application and designconstraints imposed on the overall system. Skilled artisans mayimplement the described functionality in varying ways for eachparticular application, but such implementation decisions should not beinterpreted as causing a departure from the scope of the presentinvention.

The hardware used to implement the various illustrative logics, logicalblocks, modules, and circuits described in connection with the aspectsdisclosed herein may be implemented or performed with a general purposeprocessor, a digital signal processor (DSP), an application specificintegrated circuit (ASIC), a field programmable gate array (FPGA) orother programmable logic device, discrete gate or transistor logic,discrete hardware components, or any combination thereof designed toperform the functions described herein. A general-purpose processor maybe a microprocessor, but, in the alternative, the processor may be anyconventional processor, controller, microcontroller, or state machine. Aprocessor may also be implemented as a combination of computing devices,e.g., a combination of a DSP and a microprocessor, a plurality ofmicroprocessors, one or more microprocessors in conjunction with a DSPcore, or any other such configuration. Alternatively, some steps ormethods may be performed by circuitry that is specific to a givenfunction.

In one or more exemplary aspects, the functions described may beimplemented in hardware, software, firmware, or any combination thereof.If implemented in software, the functions may be stored as one or moreinstructions or code on a non-transitory computer-readable medium ornon-transitory processor-readable medium. The steps of a method oralgorithm disclosed herein may be embodied in a processor-executablesoftware module (or processor-executable instructions) which may resideon a non-transitory computer-readable or processor-readable storagemedium. Non-transitory computer-readable or processor-readable storagemedia may be any storage media that may be accessed by a computer or aprocessor. By way of example but not limitation, such non-transitorycomputer-readable or processor-readable media may include RAM, ROM,EEPROM, FLASH memory, CD-ROM or other optical disk storage, magneticdisk storage or other magnetic storage devices, or any other medium thatmay be used to store desired program code in the form of instructions ordata structures and that may be accessed by a computer. Disk and disc,as used herein, includes compact disc (CD), laser disc, optical disc,digital versatile disc (DVD), floppy disk, and blu-ray disc where disksusually reproduce data magnetically, while discs reproduce dataoptically with lasers. Combinations of the above are also includedwithin the scope of non-transitory computer-readable andprocessor-readable media. Additionally, the operations of a method oralgorithm may reside as one or any combination or set of codes and/orinstructions on a non-transitory processor-readable medium and/orcomputer-readable medium, which may be incorporated into a computerprogram product.

The preceding description of the disclosed embodiments is provided toenable any person skilled in the art to make or use the presentinvention. Various modifications to these embodiments will be readilyapparent to those skilled in the art, and the generic principles definedherein may be applied to other embodiments without departing from thespirit or scope of the invention. Thus, the present invention is notintended to be limited to the embodiments shown herein but is to beaccorded the widest scope consistent with the following claims and theprinciples and novel features disclosed herein.

1. A method for operating a material handling system including aconveyor system, comprising: monitoring a material handling system stateinput of one or more of: (i) an upstream demand; (ii) currentutilization; and (iii) and downstream capacity of a conveyor system;determining whether the material handling system state input meets aspeed change requirement corresponding to the one or more materialhandling system state inputs; determining a new speed for the conveyorsystem in response to determining the material handling system stateinput meets the speed change requirement for the conveyor that satisfiesone or more of: (i) the upstream demand; (ii) an available throughputrange of the conveyor system; and (iii) a constraint of the downstreamcapacity; and periodically adjusting a run rate of the conveyor systemto the new speed over a period of time selected to not present adistracting visual and audible change in the conveyor system.
 2. Themethod of claim 1, wherein periodically adjusting the run rate to avoidfrequently changing rate in a distracting manner comprises monitoringthe material handling system state input for a period of time of atleast one minute.
 3. The method of claim 2, wherein periodically adjustthe run rate to avoid frequently changing rate in a distracting mannercomprises monitoring the material handling system state input for aperiod of time of at least ten minutes.
 4. The method of claim 1,wherein the conveyor system comprises a sortation system that is aselected one of a pop-up skewed wheel sorter, pivot wheel sorters, crossbelt sorter, a tilt tray sorter, and a sliding shoe sorter.
 5. Themethod of claim 4, wherein periodically adjusting the run rate of theconveyor system comprises: determining a maximum throughput value of thesortation system at a first run rate; monitoring an actual throughputvalue of the sortation system at the first run rate; comparing a ratioof the actual throughput value to the maximum throughput value with afirst threshold; and determining the material handling system stateinput meets the speed change requirement in response to the ratio beinggreater than the first threshold.
 6. The method of claim 4, whereinperiodically adjusting the run rate of the conveyor system comprises:comparing the ratio with a second threshold that is lower than the firstthreshold; and determining the material handling system state inputmeets the speed change requirement in response to the ratio being lessthan the second threshold, wherein determining a new speed for theconveyor system in response to determining the material handling systemstate input meets the speed change requirement for the conveyor systemcomprises: determining a new speed for the sortation system that isgreater than the first run rate in response to the ratio being greaterthan the first threshold; and determining a new speed for the sortationsystem that is less than the first run rate in response to the ratiobeing less than the second threshold.
 7. The method of claim 4, whereinperiodically adjusting the run rate of the conveyor system comprises:monitoring an unavailability value of aftersort destinations of thesortation system; and determining the material handling system stateinput meets the speed change requirement in response to theunavailability value exceeding a first recirculation threshold or asecond recirculation threshold; and determining a new speed for theconveyor system in response to determining the material handling systemstate input meets the speed change requirement for the conveyor systemcomprises: determining a new speed for the sortation system that is lessthan a current speed in response to the unavailability value exceedingthe first recirculation threshold; and reducing inductions to thesortation system in response to the unavailability value exceeding thesecond recirculation threshold.
 8. The method of claim 4, wherein:periodically adjusting the run rate of the conveyor system comprisesresponding to an accumulated quantity on an accumulation lane thatinducts to the sortation system exceeding a fullness threshold or inresponse to receiving an alert of an impending increase in a quantity ofinventory to be conveyed to the accumulation lane; and the new speed forthe sortation system is greater than a current speed.
 9. The method ofclaim 4, wherein: periodically adjusting the run rate of the conveyorsystem comprises: monitoring a usage level of a recirculation conveyor,determining whether the usage level exceeds a threshold; and determiningthe material handling system state input meets the speed changerequirement in response to determining that the usage level exceeds thethreshold; and the new speed for the sortation system is less than acurrent speed.
 10. The method of claim 9, wherein monitoring a usagelevel of a recirculation conveyor comprises monitoring a currentfullness level of the recirculation conveyor.
 11. The method of claim 9,wherein: monitoring a usage level of a recirculation conveyor comprisesdetermining a projected fullness level of the recirculation conveyorbased upon a quantity of inducted objects destined for the recirculationconveyor; and determining whether the usage level exceeds a thresholdcomprises determining whether the projected fullness level of therecirculation conveyor exceeds a threshold.
 12. The method of claim 9,further comprising, in response to determining that the projectedfullness level of the recirculation conveyor exceeding a threshold,stopping induction of items on the sortation system, wherein the newspeed for the sortation system corresponds to a reduced run rate of therecirculation conveyor.
 13. The method of claim 4, wherein: wherein theconveyor system further comprises a singulator that is upstream of thesortation system; and the material handling system state input of thesingulator is a loading level of the sortation system.
 14. The method ofclaim 1, wherein the material handling system state input is selectedfrom the group consisting of a labor input, a current work input, anestimated completion time, a work characteristic, and an electricpricing period.
 15. The method of claim 1, further comprising receivingthe material handling system state input from an external system thatmanages data associated with a status of a distribution center in whichthe material handling system operates.
 16. The method of claim 1,further comprising: monitoring the material handling system state inputof the upstream demand; and determining the new speed for the conveyorsystem in response to determining the material handling system stateinput meets the speed change requirement for the conveyor that satisfiesthe upstream demand.
 17. The method of claim 1, further comprising:monitoring the material handling system state input of the currentutilization; and determining the new speed for the conveyor system inresponse to determining the material handling system state input meetsthe speed change requirement for the conveyor that satisfies theutilization rate within a fullness range.
 18. The method of claim 1,further comprising: monitoring the material handling system state inputof the downstream capacity; and determining the new speed for theconveyor system in response to determining the material handling systemstate input meets the speed change requirement for the conveyor thatsatisfies the downstream capacity.
 19. A material handling systemcomprising: a conveyor system; and a controller, comprising: aninterface in communication with the conveyor system; and a processorcoupled to the interface, wherein the processor is configured withprocessor-executable instructions to perform operations comprising:monitor a material handling system state input of one or more of: (i) anupstream demand; (ii) current utilization; and (iii) and downstreamcapacity of a conveyor system; determine whether the material handlingsystem state input meets a speed change requirement corresponding to theone or more material handling system state inputs; determine a new speedfor the conveyor system in response to determining the material handlingsystem state input meets the speed change requirement for the conveyorthat satisfies one or more of: (i) the upstream demand; (ii) anavailable throughput range of the conveyor system; and (iii) aconstraint of the downstream capacity; and periodically adjust a runrate of the conveyor system to the new speed over a period of timeselected to not present a distracting visual and audible change in theconveyor system.
 20. A non-transitory processor readable medium havingstored thereon processor-executable instructions configured to cause aprocessor to perform operations comprising: monitoring a materialhandling system state input of one or more of: (i) an upstream demand;(ii) current utilization; and (iii) and downstream capacity of aconveyor system; determining whether the material handling system stateinput meets a speed change requirement corresponding to the one or morematerial handling system state inputs; determining a new speed for theconveyor system in response to determining the material handling systemstate input meets the speed change requirement for the conveyor thatsatisfies one or more of: (i) the upstream demand; (ii) an availablethroughput range of the conveyor system; and (iii) a constraint of thedownstream capacity; and periodically adjusting a run rate of theconveyor system to the new speed over a period of time selected to notpresent a distracting visual and audible change in the conveyor system.